{"title":"结合局部二值模式和不连续二值模式的纹理图像检索","authors":"T. G. Subash Kumar, V. Nagarajan","doi":"10.1109/ICCSP.2014.6949873","DOIUrl":null,"url":null,"abstract":"Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the local structures of images and has been very successful in image retrieval applications. In this paper, we propose a texture image retrieval technique which uses discontinuity binary pattern (DBP) along with the LBP. The DBP is formed by thresholding the absolute difference between the center pixel and its neighbors. This technique is applied to a database of 1180 sub-images from the twenty different classes of vistex database. Result shows that the proposed technique achieves good retrieval rate.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Texture image retrieval by combining local binary pattern and discontinuity binary pattern\",\"authors\":\"T. G. Subash Kumar, V. Nagarajan\",\"doi\":\"10.1109/ICCSP.2014.6949873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the local structures of images and has been very successful in image retrieval applications. In this paper, we propose a texture image retrieval technique which uses discontinuity binary pattern (DBP) along with the LBP. The DBP is formed by thresholding the absolute difference between the center pixel and its neighbors. This technique is applied to a database of 1180 sub-images from the twenty different classes of vistex database. Result shows that the proposed technique achieves good retrieval rate.\",\"PeriodicalId\":149965,\"journal\":{\"name\":\"2014 International Conference on Communication and Signal Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Communication and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP.2014.6949873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Communication and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2014.6949873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Texture image retrieval by combining local binary pattern and discontinuity binary pattern
Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the local structures of images and has been very successful in image retrieval applications. In this paper, we propose a texture image retrieval technique which uses discontinuity binary pattern (DBP) along with the LBP. The DBP is formed by thresholding the absolute difference between the center pixel and its neighbors. This technique is applied to a database of 1180 sub-images from the twenty different classes of vistex database. Result shows that the proposed technique achieves good retrieval rate.